Data Engineer - Workforce Data Engineering (Hybrid in Des Moines, IA)

Principal Financial Group
Des Moines, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 105K

Job location

Des Moines, United States of America

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Confluence
JIRA
Information Engineering
Data Structures
Data Stores
Github
Revision Control Systems
Python
SQL Databases
Systems Integration
Snowflake

Requirements

  • Bachelor's degree or a Master's degree in a related field
  • Proficiency in SQL, Python and version control tools like GitHub
  • Basic planning, organizational, problem-solving, analytical, decision-making and communication skills
  • Highly self-motivated with excellent time management skills
  • Ability to provide on-call support

Skills That Will Help You Stand Out

  • Experience with Snowflake and AWS services
  • Ability to work directly with data and datastores through programming languages such as SQL, Python, etc.
  • Experience working in an Agile environment, including familiarity with tools like Jira and Confluence
  • Experience integrating and managing datasets from multiple sources
  • Experience with a variety of data modeling techniques and data structures
  • Ability to optimize data for analytics and data science
  • Ability to effectively communicate strategies and designs to all levels of the company

Benefits & conditions

Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)

$62000 - $105000 / year

Salary Details

The following salary ranges reflect market-specific compensation for this position across multiple job levels. Candidates will be evaluated to determine the appropriate job level based on their skills and experience.

  • Data Engineer I: $62,000- $84,000 / year
  • Data Engineer II: $77,000- $105,000 / year

Time Off Program

Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.

About the company

What if your role in data engineering didn't just move data... but shaped how a global workforce operates? As part of our Workforce Data Engineering team, you'll work with data representing 20,000+ employees-connecting systems, uncovering insights, and enabling smarter decisions about hiring, development, and productivity. This is more than pipelines-it's a puzzle. You'll act as a data detective , uncovering relationships and turning fragmented data into something meaningful. Why This Role Is Exciting This isn't a "learn by watching" role-it's a learn by doing, building, and experimenting opportunity. You will: * Work hands-on with cutting-edge data platforms and AI-enabled technologies * Collaborate with teams across the company to solve real business problems * Curate and connect data for a global workforce of 20,000+ employees * Explore new and creative use cases for workforce and employee data * Develop AI agents and tools that help leaders and employees get answers faster Every dataset you touch has a real outcome-helping someone make a better decision, faster. What We Do We transform fragmented workforce data into trusted, enterprise-ready data products by : * Creating a unified view of employees across systems * Enabling insights into hiring, productivity, and learning * Delivering datasets that power analytics, reporting, and AI Career Growth & Mobility This role is part of our broader Enterprise Hub Data Engineering organization . While your initial focus will be workforce data, our engineers frequently partner across other hub teams as business needs evolve -supporting domains such as customer interactions, party/product data, reference data, and advanced analytics . This gives you the opportunity to expand your experience across multiple data domains over time . Ready to Build, Explore, and Make an Impact? If you enjoy solving puzzles, learning modern technologies, and seeing your work directly influence people and outcomes-you'll thrive here. Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years., Nonimmigrant Workers (https://www.uscis.gov/working-in-the-united-states/temporary-nonimmigrant-workers) and Green Card for Employment-Based Immigrants (https://www.uscis.gov/green-card/green-card-eligibility/green-card-for-employment-based-immigrants), At Principal, we value connecting on both a personal and professional level. Together, we're imagining a more purpose-led future for financial services - and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site (https://www.principal.com/about-us/careers) to learn more about our purpose, values and benefits.

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